Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory42.7 B

Variable types

Text4
Categorical1

Dataset

Description인천광역시 연수구 지정 모범음식점 현황에 대한 데이터(업소명, 소재지 주소, 소재지 전화번호, 업태명, 주된 메뉴 등)
Author인천광역시 연수구
URLhttps://www.data.go.kr/data/15055933/fileData.do

Alerts

소재지전화번호 has 1 (2.1%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
주된음식 has unique valuesUnique

Reproduction

Analysis started2024-04-13 13:21:20.048107
Analysis finished2024-04-13 13:21:23.291143
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-04-13T22:21:23.948741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length9
Mean length6.4166667
Min length2

Characters and Unicode

Total characters308
Distinct characters151
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row(주)이학
2nd row강릉회산막국수
3rd row경복궁송도점(주)엔타스
4th row군봉
5th row굴세상
ValueCountFrequency (%)
송도점 2
 
3.3%
주)이학 1
 
1.6%
통돼지 1
 
1.6%
아리아리랑 1
 
1.6%
아바이왕순대 1
 
1.6%
아우라지 1
 
1.6%
메기 1
 
1.6%
매운탕 1
 
1.6%
연수점 1
 
1.6%
열두바구니 1
 
1.6%
Other values (50) 50
82.0%
2024-04-13T22:21:25.237553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
4.2%
도 9
 
2.9%
송 9
 
2.9%
이 7
 
2.3%
탕 7
 
2.3%
점 6
 
1.9%
( 5
 
1.6%
우 5
 
1.6%
아 5
 
1.6%
대 5
 
1.6%
Other values (141) 237
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
89.9%
Space Separator 13
 
4.2%
Open Punctuation 5
 
1.6%
Close Punctuation 5
 
1.6%
Lowercase Letter 5
 
1.6%
Uppercase Letter 2
 
0.6%
Letter Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9
 
3.2%
송 9
 
3.2%
이 7
 
2.5%
탕 7
 
2.5%
점 6
 
2.2%
우 5
 
1.8%
아 5
 
1.8%
대 5
 
1.8%
집 5
 
1.8%
골 4
 
1.4%
Other values (131) 215
77.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
i 1
20.0%
s 1
20.0%
t 1
20.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
89.9%
Common 23
 
7.5%
Latin 8
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9
 
3.2%
송 9
 
3.2%
이 7
 
2.5%
탕 7
 
2.5%
점 6
 
2.2%
우 5
 
1.8%
아 5
 
1.8%
대 5
 
1.8%
집 5
 
1.8%
골 4
 
1.4%
Other values (131) 215
77.6%
Latin
ValueCountFrequency (%)
a 2
25.0%
i 1
12.5%
L 1
12.5%
V 1
12.5%
s 1
12.5%
t 1
12.5%
Ⅰ 1
12.5%
Common
ValueCountFrequency (%)
13
56.5%
( 5
 
21.7%
) 5
 
21.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
89.9%
ASCII 30
 
9.7%
Number Forms 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
43.3%
( 5
 
16.7%
) 5
 
16.7%
a 2
 
6.7%
i 1
 
3.3%
L 1
 
3.3%
V 1
 
3.3%
s 1
 
3.3%
t 1
 
3.3%
Hangul
ValueCountFrequency (%)
도 9
 
3.2%
송 9
 
3.2%
이 7
 
2.5%
탕 7
 
2.5%
점 6
 
2.2%
우 5
 
1.8%
아 5
 
1.8%
대 5
 
1.8%
집 5
 
1.8%
골 4
 
1.4%
Other values (131) 215
77.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-04-13T22:21:26.198980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length45.5
Mean length36.5625
Min length22

Characters and Unicode

Total characters1755
Distinct characters134
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 먼우금로 208, 지상2층 (연수동)
2nd row인천광역시 연수구 동곡재로 52 (동춘동, 지1층)
3rd row인천광역시 연수구 청량로 120 (옥련동, 지상1,2층)
4th row인천광역시 연수구 비류대로150번길 13, 지상1층 및 지하1층 (옥련동)
5th row인천광역시 연수구 앵고개로254번길 19-3 (동춘동, 지상2층)
ValueCountFrequency (%)
인천광역시 48
 
15.5%
연수구 48
 
15.5%
지상1층 15
 
4.8%
동춘동 11
 
3.5%
옥련동 10
 
3.2%
송도동 10
 
3.2%
청학동 5
 
1.6%
지상2층 4
 
1.3%
지상1,2층 4
 
1.3%
11 3
 
1.0%
Other values (129) 152
49.0%
2024-04-13T22:21:27.639130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
14.9%
1 93
 
5.3%
동 76
 
4.3%
, 71
 
4.0%
2 62
 
3.5%
) 57
 
3.2%
( 57
 
3.2%
연 53
 
3.0%
수 53
 
3.0%
시 51
 
2.9%
Other values (124) 920
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 986
56.2%
Decimal Number 305
 
17.4%
Space Separator 262
 
14.9%
Other Punctuation 71
 
4.0%
Close Punctuation 57
 
3.2%
Open Punctuation 57
 
3.2%
Uppercase Letter 11
 
0.6%
Dash Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 76
 
7.7%
연 53
 
5.4%
수 53
 
5.4%
시 51
 
5.2%
로 49
 
5.0%
인 49
 
5.0%
구 49
 
5.0%
광 49
 
5.0%
역 48
 
4.9%
천 48
 
4.9%
Other values (101) 461
46.8%
Decimal Number
ValueCountFrequency (%)
1 93
30.5%
2 62
20.3%
0 29
 
9.5%
3 28
 
9.2%
5 20
 
6.6%
4 19
 
6.2%
7 16
 
5.2%
6 13
 
4.3%
9 13
 
4.3%
8 12
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
U 2
18.2%
A 2
18.2%
M 2
18.2%
E 1
9.1%
D 1
9.1%
T 1
9.1%
N 1
9.1%
C 1
9.1%
Space Separator
ValueCountFrequency (%)
262
100.0%
Other Punctuation
ValueCountFrequency (%)
, 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 986
56.2%
Common 758
43.2%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 76
 
7.7%
연 53
 
5.4%
수 53
 
5.4%
시 51
 
5.2%
로 49
 
5.0%
인 49
 
5.0%
구 49
 
5.0%
광 49
 
5.0%
역 48
 
4.9%
천 48
 
4.9%
Other values (101) 461
46.8%
Common
ValueCountFrequency (%)
262
34.6%
1 93
 
12.3%
, 71
 
9.4%
2 62
 
8.2%
) 57
 
7.5%
( 57
 
7.5%
0 29
 
3.8%
3 28
 
3.7%
5 20
 
2.6%
4 19
 
2.5%
Other values (5) 60
 
7.9%
Latin
ValueCountFrequency (%)
U 2
18.2%
A 2
18.2%
M 2
18.2%
E 1
9.1%
D 1
9.1%
T 1
9.1%
N 1
9.1%
C 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 986
56.2%
ASCII 769
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
34.1%
1 93
 
12.1%
, 71
 
9.2%
2 62
 
8.1%
) 57
 
7.4%
( 57
 
7.4%
0 29
 
3.8%
3 28
 
3.6%
5 20
 
2.6%
4 19
 
2.5%
Other values (13) 71
 
9.2%
Hangul
ValueCountFrequency (%)
동 76
 
7.7%
연 53
 
5.4%
수 53
 
5.4%
시 51
 
5.2%
로 49
 
5.0%
인 49
 
5.0%
구 49
 
5.0%
광 49
 
5.0%
역 48
 
4.9%
천 48
 
4.9%
Other values (101) 461
46.8%

소재지전화번호
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing1
Missing (%)2.1%
Memory size512.0 B
2024-04-13T22:21:28.509843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.021277
Min length12

Characters and Unicode

Total characters565
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row032-815-4665
2nd row032-812-0021
3rd row032-831-7776
4th row032-832-3568
5th row032-811-8900
ValueCountFrequency (%)
032-815-4665 1
 
2.1%
032-816-7788 1
 
2.1%
032-834-9098 1
 
2.1%
032-814-5292 1
 
2.1%
032-833-7892 1
 
2.1%
032-822-5045 1
 
2.1%
032-833-0505 1
 
2.1%
032-814-8989 1
 
2.1%
032-833-9701 1
 
2.1%
032-834-4433 1
 
2.1%
Other values (37) 37
78.7%
2024-04-13T22:21:29.750604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 100
17.7%
- 94
16.6%
2 80
14.2%
0 76
13.5%
8 72
12.7%
1 47
8.3%
7 26
 
4.6%
9 21
 
3.7%
5 20
 
3.5%
4 16
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 471
83.4%
Dash Punctuation 94
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 100
21.2%
2 80
17.0%
0 76
16.1%
8 72
15.3%
1 47
10.0%
7 26
 
5.5%
9 21
 
4.5%
5 20
 
4.2%
4 16
 
3.4%
6 13
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 565
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 100
17.7%
- 94
16.6%
2 80
14.2%
0 76
13.5%
8 72
12.7%
1 47
8.3%
7 26
 
4.6%
9 21
 
3.7%
5 20
 
3.5%
4 16
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 565
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 100
17.7%
- 94
16.6%
2 80
14.2%
0 76
13.5%
8 72
12.7%
1 47
8.3%
7 26
 
4.6%
9 21
 
3.7%
5 20
 
3.5%
4 16
 
2.8%

업태명
Categorical

Distinct8
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size512.0 B
한식
28 
탕류(보신용)
7 
식육(숯불구이)
4 
중국식
3 
일식
 
2
Other values (3)
4 

Length

Max length8
Median length2
Mean length3.3541667
Min length2

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row식육(숯불구이)
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 28
58.3%
탕류(보신용) 7
 
14.6%
식육(숯불구이) 4
 
8.3%
중국식 3
 
6.2%
일식 2
 
4.2%
경양식 2
 
4.2%
횟집 1
 
2.1%
뷔페식 1
 
2.1%

Length

2024-04-13T22:21:30.187927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T22:21:30.549932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 28
58.3%
탕류(보신용 7
 
14.6%
식육(숯불구이 4
 
8.3%
중국식 3
 
6.2%
일식 2
 
4.2%
경양식 2
 
4.2%
횟집 1
 
2.1%
뷔페식 1
 
2.1%

주된음식
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size512.0 B
2024-04-13T22:21:31.390708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length10
Mean length6.8125
Min length2

Characters and Unicode

Total characters327
Distinct characters106
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row갈비냉면
2nd row코다리회막국수
3rd row갈비
4th row묵은지김치찜
5th row굴국밥, 굴무침
ValueCountFrequency (%)
짜장면 3
 
4.3%
탕수육 2
 
2.9%
삼계탕 2
 
2.9%
꽃게탕 2
 
2.9%
갈비냉면 1
 
1.4%
갈비탕 1
 
1.4%
청국장 1
 
1.4%
메기매운탕,추어탕 1
 
1.4%
순대,순대탕 1
 
1.4%
한정식 1
 
1.4%
Other values (55) 55
78.6%
2024-04-13T22:21:32.622836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 28
 
8.6%
22
 
6.7%
탕 20
 
6.1%
장 8
 
2.4%
리 7
 
2.1%
국 7
 
2.1%
갈 7
 
2.1%
회 6
 
1.8%
매 6
 
1.8%
삼 6
 
1.8%
Other values (96) 210
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
84.7%
Other Punctuation 28
 
8.6%
Space Separator 22
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 20
 
7.2%
장 8
 
2.9%
리 7
 
2.5%
국 7
 
2.5%
갈 7
 
2.5%
회 6
 
2.2%
매 6
 
2.2%
삼 6
 
2.2%
기 6
 
2.2%
수 6
 
2.2%
Other values (94) 198
71.5%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
84.7%
Common 50
 
15.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 20
 
7.2%
장 8
 
2.9%
리 7
 
2.5%
국 7
 
2.5%
갈 7
 
2.5%
회 6
 
2.2%
매 6
 
2.2%
삼 6
 
2.2%
기 6
 
2.2%
수 6
 
2.2%
Other values (94) 198
71.5%
Common
ValueCountFrequency (%)
, 28
56.0%
22
44.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
84.7%
ASCII 50
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 28
56.0%
22
44.0%
Hangul
ValueCountFrequency (%)
탕 20
 
7.2%
장 8
 
2.9%
리 7
 
2.5%
국 7
 
2.5%
갈 7
 
2.5%
회 6
 
2.2%
매 6
 
2.2%
삼 6
 
2.2%
기 6
 
2.2%
수 6
 
2.2%
Other values (94) 198
71.5%

Correlations

2024-04-13T22:21:32.882462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화번호업태명주된음식
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.000
업태명1.0001.0001.0001.0001.000
주된음식1.0001.0001.0001.0001.000

Missing values

2024-04-13T22:21:22.820226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T22:21:23.151096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업소명소재지(도로명)소재지전화번호업태명주된음식
0(주)이학인천광역시 연수구 먼우금로 208, 지상2층 (연수동)032-815-4665식육(숯불구이)갈비냉면
1강릉회산막국수인천광역시 연수구 동곡재로 52 (동춘동, 지1층)032-812-0021한식코다리회막국수
2경복궁송도점(주)엔타스인천광역시 연수구 청량로 120 (옥련동, 지상1,2층)032-831-7776한식갈비
3군봉인천광역시 연수구 비류대로150번길 13, 지상1층 및 지하1층 (옥련동)032-832-3568한식묵은지김치찜
4굴세상인천광역시 연수구 앵고개로254번길 19-3 (동춘동, 지상2층)032-811-8900한식굴국밥, 굴무침
5금강메기매운탕인천광역시 연수구 청량로79번길 35 (동춘동, 지상1층)032-833-1191탕류(보신용)메기매운탕, 섞어매운탕
6금산식당인천광역시 연수구 청능대로53번길 24-4 (청학동, 지상1층)032-818-1893횟집밴뎅이회무침,매운탕
7다르미앙인천광역시 연수구 갯벌로 12 (송도동,(재)송도테크노파크벤처A동 지상21층)032-260-0088뷔페식씨푸드
8도쿄하나 송도점인천광역시 연수구 해돋이로 157, 지상3층 (송도동)032-815-5000일식생선회
9동춘사골순대국인천광역시 연수구 동곡재로49번길 8 (동춘동,지상2층)032-437-0141한식칼국수, 보쌈
업소명소재지(도로명)소재지전화번호업태명주된음식
38전라도 삼합인천광역시 연수구 대암로 46 (옥련동, 지상1층)032-832-2239한식삼합,홍어탕
39정윤기 황칠낙지인천광역시 연수구 앵고개로87번길 33 (동춘동, 지상1층)032-832-5333한식연포탕, 낙지볶음
40최서방네 우렁쌈밥 대패정식인천광역시 연수구 한나루로 84 (옥련동,(지상1층))032-832-1996한식우렁쌈밥
41춘천토박이집인천광역시 연수구 앵고개로264번길 10-3 (동춘동, 동서빌딩 101,102호)032-822-7678한식삼계탕, 닭갈비
42춘향골남원추어탕인천광역시 연수구 대암로22번길 11 (옥련동, 지상1층)032-834-8336탕류(보신용)추어탕,숙회
43충남서산꽃게집인천광역시 연수구 대암로 15 (옥련동, 지상1층)032-833-1925탕류(보신용)꽃게탕, 찜
44충남서산집꽃게탕인천광역시 연수구 대암로22번길 11, 지상1층 (옥련동)032-831-7339탕류(보신용)꽃게탕,찜
45풍년꽃게인천광역시 연수구 인권로 8 (옥련동, 지상1층)032-831-1764탕류(보신용)꽃게탕
46해랑인천광역시 연수구 컨벤시아대로 80 (송도동, 401동 127호)0708-6310-102한식생선구이
47해안선인천광역시 연수구 청능대로 93 (청학동,202지상2층(청능로43))032-822-8871일식회, 회정식